{"id":"https://openalex.org/W4312594631","doi":"https://doi.org/10.1109/icpr56361.2022.9956606","title":"From SLAM to CAD Maps and Back Using Generative Models","display_name":"From SLAM to CAD Maps and Back Using Generative Models","publication_year":2022,"publication_date":"2022-08-21","ids":{"openalex":"https://openalex.org/W4312594631","doi":"https://doi.org/10.1109/icpr56361.2022.9956606"},"language":"en","primary_location":{"id":"doi:10.1109/icpr56361.2022.9956606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956606","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080264826","display_name":"Rema Daher","orcid":"https://orcid.org/0000-0002-0740-7490"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Rema Daher","raw_affiliation_strings":["American University of Beirut,Vision and Robotics Lab,Hamra,Lebanon,1107-2020"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"American University of Beirut,Vision and Robotics Lab,Hamra,Lebanon,1107-2020","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024380922","display_name":"Theodor Chakhachiro","orcid":null},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Theodor Chakhachiro","raw_affiliation_strings":["American University of Beirut,Vision and Robotics Lab,Hamra,Lebanon,1107-2020"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"American University of Beirut,Vision and Robotics Lab,Hamra,Lebanon,1107-2020","institution_ids":["https://openalex.org/I98635879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086667285","display_name":"Daniel Asmar","orcid":"https://orcid.org/0000-0002-4932-9777"},"institutions":[{"id":"https://openalex.org/I98635879","display_name":"American University of Beirut","ror":"https://ror.org/04pznsd21","country_code":"LB","type":"education","lineage":["https://openalex.org/I98635879"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Daniel Asmar","raw_affiliation_strings":["American University of Beirut,Vision and Robotics Lab,Hamra,Lebanon,1107-2020"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"American University of Beirut,Vision and Robotics Lab,Hamra,Lebanon,1107-2020","institution_ids":["https://openalex.org/I98635879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26077001,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2979","last_page":"2985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cad","display_name":"CAD","score":0.7835383415222168},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7241616249084473},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5642694234848022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49055761098861694},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4648999273777008},{"id":"https://openalex.org/keywords/simultaneous-localization-and-mapping","display_name":"Simultaneous localization and mapping","score":0.4318862557411194},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.2264648973941803},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18669858574867249},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.12354859709739685},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.10210517048835754}],"concepts":[{"id":"https://openalex.org/C194789388","wikidata":"https://www.wikidata.org/wiki/Q17855283","display_name":"CAD","level":2,"score":0.7835383415222168},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7241616249084473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5642694234848022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49055761098861694},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4648999273777008},{"id":"https://openalex.org/C86369673","wikidata":"https://www.wikidata.org/wiki/Q1203659","display_name":"Simultaneous localization and mapping","level":4,"score":0.4318862557411194},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.2264648973941803},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18669858574867249},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.12354859709739685},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.10210517048835754}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr56361.2022.9956606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr56361.2022.9956606","pdf_url":null,"source":{"id":"https://openalex.org/S4363607731","display_name":"2022 26th International Conference on Pattern Recognition (ICPR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1534153723","https://openalex.org/W1859392641","https://openalex.org/W1967548643","https://openalex.org/W2056132907","https://openalex.org/W2065896478","https://openalex.org/W2102145772","https://openalex.org/W2118691294","https://openalex.org/W2128990851","https://openalex.org/W2133374088","https://openalex.org/W2144719830","https://openalex.org/W2336416123","https://openalex.org/W2397644942","https://openalex.org/W2547372091","https://openalex.org/W2549706137","https://openalex.org/W2594382283","https://openalex.org/W2733347403","https://openalex.org/W2774565902","https://openalex.org/W2785678896","https://openalex.org/W2790492027","https://openalex.org/W2905178987","https://openalex.org/W2914476010","https://openalex.org/W2942911839","https://openalex.org/W2944817668","https://openalex.org/W2953350785","https://openalex.org/W2963012812","https://openalex.org/W2963073614","https://openalex.org/W2979543786","https://openalex.org/W3130548322","https://openalex.org/W3195477873","https://openalex.org/W4220658405","https://openalex.org/W4297823146","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6748582592","https://openalex.org/W6760958334","https://openalex.org/W6782344525"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724"],"abstract_inverted_index":{"In":[0],"Simultaneous":[1],"Localization":[2],"and":[3,36,49,70,129,137],"Mapping":[4],"(SLAM),":[5],"quality":[6,23,60],"maps":[7,25,84,87,106,114],"play":[8],"an":[9,126],"important":[10],"role":[11],"beyond":[12],"the":[13,59,99,139,142],"implicit":[14],"benefits":[15],"they":[16],"have":[17],"in":[18,41,45,55],"localization.":[19],"For":[20],"example,":[21],"good":[22],"SLAM":[24,63,83,105,113],"could":[26],"be":[27],"used":[28],"as":[29,40],"\u2019pre-maps\u2019":[30],"for":[31],"generating":[32,104],"higher":[33],"semantic":[34],"meaning":[35],"geometric":[37],"structure,":[38],"such":[39],"2D":[42,108],"CAD":[43,86,109],"drawings":[44],"which":[46],"doors,":[47],"windows,":[48],"other":[50],"entities":[51],"carry":[52],"meaning.":[53],"Unfortunately,":[54],"its":[56],"raw":[57],"form,":[58],"of":[61,103,141],"a":[62,90,122],"map":[64],"is":[65],"limited":[66],"by":[67,81,120],"several":[68],"software":[69],"hardware":[71],"related":[72],"factors.":[73],"This":[74],"paper":[75,96],"proposes":[76],"to":[77,85],"address":[78],"this":[79],"problem":[80],"converting":[82],"based":[88,124],"on":[89,125,131],"generative":[91],"adversarial":[92],"network":[93],"(GAN).":[94],"The":[95],"also":[97],"investigates":[98],"inverse":[100],"problem,":[101],"that":[102],"from":[107],"drawings,":[110],"when":[111],"synthetic":[112],"are":[115],"needed.":[116],"We":[117],"do":[118],"so":[119],"proposing":[121],"method":[123],"analytical":[127],"model":[128],"another":[130],"GANs.":[132],"Experiments":[133],"demonstrate":[134],"both":[135],"qualitatively":[136],"quantitatively":[138],"success":[140],"proposed":[143],"approaches.":[144]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
